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OFFERING

Physical AI

We build systems that see, guide and act in the physical world — vision, edge inference and autonomy on real production lines and in the field.

The approach

Intelligence is leaving the screen. Physical AI is the work of putting it onto the factory floor, the charge point and the drone — cameras that verify every assembly step, models that run on-device at the edge, and autonomy that keeps working when the cloud does not.

This is unforgiving engineering: real-time constraints, variable conditions, PLC interlocks and safety. We have shipped it — vision error-proofing on automotive lines, EV charge-point orchestration, and edge-first autonomous fleets.

What you get
Vision on the line
Edge inference, on-device
Autonomy in the field
·WHAT WE BUILD

Inside Physical AI.

01

Machine vision

We build vision systems that verify parts, monitor assembly and catch errors before they become defects.

Variant verificationassembly monitoringerror proofingYOLO
02

Edge & devices

We run inference on-device, at the edge, where latency and connectivity rule out the cloud.

ONNXTensorRTJetsonRaspberry Pismart-camera firmware
03

Line integration

We integrate with the line itself — guiding operators and interlocking with PLCs to stop errors in real time.

Operator guidancePLC interlocking
04

Autonomy & telemetry

We build autonomy and telemetry that hold up in the field, on real industrial protocols.

Companion-computer autonomyMQTTMAVLinkRTSPOCPP

Representative work Aerpace (autonomous fleets), iris (EV charge points), automotive vision error-proofing. See case studies →

·HOW TO ENGAGE

How an engagement runs

What working with us actually looks like — the steps, and how we charge for them.

01

On-site assessment

We study the line or the field environment — the vision or edge opportunity, and the real constraints: PLC interlocks, safety, connectivity, lighting, throughput.

02

Pilot on one line

We stand up a working vision or edge system on a single line or use case and prove it against real conditions — not a lab demo.

03

Deploy & integrate

We harden it, interlock with the PLC and operators, and put it into production where it stops errors in real time.

04

Scale across lines

We roll the proven system out across lines and sites, with the telemetry to keep it reliable.

How we charge

Engagement opens with a paid on-site assessment, then a fixed-scope pilot. Deployment and roll-out are scoped per line or site, with optional ongoing support for systems running in production.